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Accounting & Finance FinTech and Financial Intelligence

Certificate for Module (Business Analytics and Web Scraping)
證書(單元 : 商業分析及網站擷取)

CEF Reimbursable Course

CEF Reimbursable Course

Course Code
Application Code

Study mode
Start Date
20 Apr 2024 (Sat)
Next intake(s)
Jun 2024
1 month to 2 months
Course Fee
Course Fee: $9500 per programme (* course fees are subject to change without prior notice)
Deadline on 05 Apr 2024 (Fri)
2867 8331
2861 0278
Apply Now

Today and Upcoming Events

Confirmed launch for Apr intake! There are practical classes in the computer laboratory. Our seasoned lecturer will discuss Descriptive analytics and data visualization using Microsoft Power BI, Predictive analytics and data modeling, Prescriptive analytics and business decision optimization as well as Managerial dashboard and storytelling. Welcome to your online application!


The programme aims to provide students with essential knowledge to perform business analytics by processing, analysing, interpreting and visualizing business data. It discusses data wrangling and web scraping methods such as extraction of data from webpages and analysis of collected data to enhance business decision making. Besides, practical business applications of web scraping from managerial perspectives will be covered.

Big Data

Programme Details

On completion of the programme, students should be able to
1. describe how to perform business analytics and data wrangling;
2. apply computational tools to extract raw data from web and transform them to valuable managerial information;
3. analyse data for core business functions, interpret and visualize the processed information for operational efficiency; and
4. discuss the applications of web scraping to enhance business decision making.

Application Code 2180-FN057A Apply Online Now
Apply Online Now

Days / Time
  • Saturday, 1:30pm - 6:30pm
  • 30 hours per programme
  • Kowloon East Campus
  • Hong Kong Island Campus


Course Content :

(1) Web Scraping and Data Analytics

  • Overview of web analytics, web scrapping and data analytics
  • Introduction to web scrapping tools:
    • Microsoft PowerQuery
    • Python
    • Beautiful Soup
    • Wayscript
  • Applications of web scraping and data analytics with sample cases
    • Get a daily weather email report/SMS message for your city
    • Web scraping of stock prices
    • Ecommerce price tracker (receive an email whenever a price drops)

(2) Business Analytics and Data Wrangling

  • Principles of business analytics and data wrangling
  • Introduction to data cleansing using computation tools
  • Transformation of raw data to business information with sample cases
    • Standardize and cleanse sales budget
    • Unpivot tabular report data for processing
    • Merge and aggregate daily sales files for budget comparison
    • Automate data processing with one-click to refresh all

(3) Applications of Business Analytics and Web Scraping

  • Descriptive analytics and data visualization using Microsoft Power BI
  • Predictive analytics and data modeling
  • Prescriptive analytics and business decision optimization
  • Managerial dashboard and storytelling
  • Practical applications of business analytics and web scraping for core business functions
    • Building actual/budgeted sales management dashboard with one-click for data refresh
    • Trend analysis, data growth trend, drill up/down with hierarchy and exception highlights
    • Auto-generation of charts with natural language
    • Integration of web scraping with application programming interface (API), data cleansing and chart building
    • Predicting stock market sentiment with AI

Assessment method: Two in-class exercise + Group Project Presentation

Upon successful completion of the programme, students who have passed the continuous assessment and final assessment with attendance no less than 70% will be awarded within the HKU system through HKU SPACE a Certificate for Module (Business Analytics and Web Scraping)


(1) Mr. W. C. Chan
Mr. W. C. Chan, FRM, is very professional in teaching web scraping using big data and visualize business data for storytelling. He possesses rich experience in financial risk management, information technology and data science and has worked as an IT Manager for over a decade. Being a practitioner in information technology, he is currently a consultant and trainer at a Big Data Consultancy Services Company. He is strong in cloud-based solutions, big data technology, data mining and machine learning.
Mr. Chan has delivered trainings in data science areas, covering R, machine learning, statistics, database programming, AWS cloud architecture and SAS programming for IT professionals and university graduates for over 2 years. He worked as the Head of BI Data Analytics and R&D Team in Li & Fung Group Company, GBG Asia (HK) Limited, IDS Group Ltd. & LF Asia and so on, devoting himself in IT development and project management.
Mr. Chan has obtained a Bachelor of Science Degree in Mathematics from The Chinese University of Hong Kong as well as three Master Degrees, namely, Risk Management Science from The Chinese University of Hong Kong, Quantitative Analysis for Business from City University of Hong Kong and Industrial Logistics Systems from The Hong Kong Polytechnic University.

(2) Ms. Rowena Lai
Ms. Lai is a practitioner in business and data analytics as well as web analytics. With a Bachelor of Science (Major in Mathematics and Minor in Economics) from The Chinese University of Hong Kong, two Master of Science degrees in  International Shipping and Transport Logistics as well as Global Supply Chain Management both from The Hong Kong Polytechnic University. She has worked with different industries on business analytics area. Ms. Lai is currently working in a leading bank and has led various projects related to data analytics. With her extended working exposure, she would like to share her academic knowledge and practical experience in data science and analytics.

(3) Mr. Clive Yip
Mr. Yip is a practitioner in Data Analytics.  He has 10 years of experience in both Big 4 consulting firms and multinational companies.  He is currently working as a Senior Data Analytics Consultant in a leading insurance company, using Python, SQL and other Big Data technologies to analyse and monitor any non-compliance or fraudulent activities.  He has a Master’s degree in Information Technology from HKUST and a Bachelor’s degree from the University of Southern California.  Before entering the data analytics field, he worked as a financial auditor in Ernst and Young and is a Certified Public Accountant (CPA) in Hong Kong and Canada.

Class Details


Apr 2024 Schedule

Lecture Date Time
1 20 Apr 24 (Sat) 13:30 - 18:30
2 27 Apr 24 (Sat) 13:30 - 18:30
3 4 May 24 (Sat) 13:30 - 18:30
4 11 May 24 (Sat) 13:30 - 18:30
5 18 May 24 (Sat) 13:30 - 18:30
6 25 May 24 (Sat) 13:30 - 18:30

Remarks: Tentative timetable is subject to change, and course commencement is subject to sufficient enrollment numbers.


Application Fee

HK$150 (Non-refundable)

Course Fee
  • Course Fee: $9500 per programme (* course fees are subject to change without prior notice)

Entry Requirements

Applicants should hold an Advanced Diploma, a Higher Diploma or an Associate Degree preferably in the areas of business and statistics (e.g., mathematics, statistics, computer science, IT, engineering, economics or finance) awarded by a recognized institution. Applicants with other equivalent qualifications will be considered on individual merit.



  • The CEF Institution Code of HKU SPACE is 100
CEF Courses
Certificate for Module (Business Analytics and Web Scraping)
證書(單元: 商業分析及網站擷取)
COURSE CODE 33C131609 FEES $9,500 ENQUIRY 2867-8331
Continuing Education Fund Continuing Education Fund
This course has been included in the list of reimbursable courses under the Continuing Education Fund.

Certificate for Module (Business Analytics and Web Scraping)

  • This course is recognised under the Qualifications Framework (QF Level [5])


Online Application Apply Now

Application Form Download Application Form

Enrolment Method
Payment Method
1. Cash, EPS, WeChat Pay Or Alipay

Course fees can be paid by cash, EPS, WeChat Pay or Alipay at any HKU SPACE Enrolment Centres.

2. Cheque Or Bank draft

Course fees can also be paid by crossed cheque or bank draft made payable to “HKU SPACE”. Please specify the programme title(s) for application and the applicant’s name.. You may either:

  • bring the completed form(s), together with the appropriate course or application fees in the form of a cheque, and any required supporting documents to any of the HKU SPACE enrolment centres;
  • or mail the above documents to any of the HKU SPACE Enrolment Centres, specifying  “Course Application” on the envelope.  HKU SPACE will not be responsible for any loss of payment sent by mail.
3. VISA/Mastercard

Applicants may also pay the course fee by VISA or Mastercard, including the “HKU SPACE Mastercard”, at any HKU SPACE enrolment centres. Holders of the HKU SPACE Mastercard can enjoy a 10-month interest-free instalment period for courses with a tuition fee worth a minimum of HK$2,000; however, the course applicant must also be the cardholder himself/herself. For enquiries, please contact our staff at any enrolment centres.

4. Online Payment

Online application / enrolment is offered for most open admission courses (course enrolled on first come, first served basis) and selected award-bearing programmes. Application fees and course fees of these programmes/courses can be settled by using "PPS by Internet" (not available via mobile phones), VISA or Mastercard. In addition to the aforesaid online payment channels, continuing students of award-bearing programmes, if their programmes offer online service, may also pay their course fees by Online WeChat Pay, Online Alipay and Faster Payment System (FPS). Please refer to Enrolment Methods - Online Enrolment  for details.


  • If the programme/course is starting within five working days, application by post is not recommended to avoid any delays. Applicants are advised to enrol in person at HKU SPACE Enrolement Centres and avoid making cheque payment under this circustance.
  • Fees paid are not refundable except under very exceptional circumstances (e.g. course cancellation due to insufficient enrolment), subject to the School’s discretion. In exceptional cases where a refund is approved, fees paid by cash, EPS, WeChat Pay, Alipay, cheque or PPS (for online payment only) will normally be reimbursed by a cheque, and fees paid by credit card will normally be reimbursed to the payment cardholder's credit card account.
  • In addition to the published fees, there may be additional costs associated with individual programmes. Please refer to the relevant course brochures or direct any enquiries to the relevant programme team for details.
  • Fees and places on courses cannot be transferrable from one applicant to another. Once accepted onto a course, the student may not change to another course without approval from HKU SPACE. A processing fee of HK$120 will be levied on each approved transfer.
  • Receipts will be issued for fees paid but HKU SPACE will not be repsonsible for any loss of receipt sent by mail.
  • For payment certification, please submit a completed form, a sufficiently stamped and self-addressed envelope, and a crossed cheque for HK$30 per copy made payable to "HKU SPACE" to any of our enrolment centres.